10.7910/DVN/FO1M99Gaglia, GiorgioGiorgioGaglia0000-0002-5179-4256Brigham and Women's HospitalHarvard Dataverse2022Medicine, Health and Life SciencesAdenocarcinoma of LungArena, SarahHarvard Medical School2021-07-232022-10-12ome-tiffhttps://www.cycif.org/data/gaglia-mit-ludwig-2020/190487143151742155application/ziptext/htmltext/markdown1.0CC0 1.0The collection comprises preservation-quality files of Minerva output files without needing download terabyte scale images. To view data in a browser follow this link: <a>https://www.cycif.org/data/gaglia-mit-ludwig-2020/osd-gemm-lung.html</a>. This dataset uses the Minerva Suite, a series of software tools developed by the Laboratory of Systems Pharmacology to visualize multiplexed tissue image data in a web browser. Researchers or pathologists can annotate and describe images for users and users can use zooming and panning features to explore the full resolution images without needing to download multi-GB/TB image files. These annotated and unannotated images are created by uploading quality controlled ome.tiffs and segmentation masks, along with channel metadata and text descriptions, into the Minerva Author tool. These input files produce .json files, an .html file, and hundreds of .jpg pyramid files that make the images browsable online. This dataset uses Cyclic Immunofluorescence (t-CyCIF) to explore the organization of immune cells in a genetically engineered mouse model (GEMM) of lung adenocarcinoma.Minerva Browser, v3.2.6Ludwig